14b0d4c7e5
[lora] add lora APIs for booster, support lora for TorchDDP ( #4981 )
...
* add apis and peft requirement
* add liscense and implement apis
* add checkpointio apis
* add torchddp fwd_bwd test
* add support_lora methods
* add checkpointio test and debug
* delete unneeded codes
* remove peft from LICENSE
* add concrete methods for enable_lora
* simplify enable_lora api
* fix requirements
2024-04-28 10:51:27 +08:00
1b387ca9fe
[shardformer] refactor pipeline grad ckpt config ( #5646 )
...
* [shardformer] refactor pipeline grad ckpt config
* [shardformer] refactor pipeline grad ckpt config
* [pipeline] fix stage manager
2024-04-25 15:19:30 +08:00
4de4e31818
[exampe] update llama example ( #5626 )
...
* [plugin] support dp inside for hybriad parallel
* [example] update llama benchmark
* [example] update llama benchmark
* [example] update llama readme
* [example] update llama readme
2024-04-23 14:12:20 +08:00
a0ad587c24
[shardformer] refactor embedding resize ( #5603 )
...
* [branch rebase] rebase main to Feature/resize_embedding (#5554 )
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* [hotfix] fix typo s/keywrods/keywords etc. (#5429 )
* [devops] fix compatibility (#5444 )
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* [shardformer] fix gathering output when using tensor parallelism (#5431 )
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padding vocab_size when using pipeline parallellism
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fix
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* fix
fix
fix
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* [doc] update open-sora demo
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---------
Co-authored-by: Hongxin Liu <lhx0217@gmail.com>
Co-authored-by: digger yu <digger-yu@outlook.com>
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
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---------
Co-authored-by: Hongxin Liu <lhx0217@gmail.com>
Co-authored-by: digger yu <digger-yu@outlook.com>
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
* [rebase] rebase main to resize-embedding (#5581 )
* [release] grok-1 314b inference (#5490 )
* [release] grok-1 inference
* [release] grok-1 inference
* [release] grok-1 inference
* [example] update Grok-1 inference (#5495 )
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* prevent re-installing torch
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* trivial
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* [hotfix] set return_outputs=False in examples and polish code (#5404 )
* fix: simplify merge_batch
* fix: use return_outputs=False to eliminate extra memory consumption
* feat: add return_outputs warning
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* [release] grok-1 inference benchmark (#5500 )
* [release] grok-1 inference benchmark
* [release] grok-1 inference benchmark
* [release] grok-1 inference benchmark
* [release] grok-1 inference benchmark
* [release] grok-1 inference benchmark
* [shardformer]Fix lm parallel. (#5480 )
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padding vocab_size when using pipeline parallellism
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fix
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* fix
fix
fix
* fix gather output
* fix
* fix
* fix
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* [fix] fix grok-1 example typo (#5506 )
* [devops] fix example test ci (#5504 )
* Fix ColoTensorSpec for py11 (#5440 )
* fixed layout converter caching and updated tester
* Empty-Commit
* [shardformer] update colo attention to support custom mask (#5510 )
* [feature] refactor colo attention (#5462 )
* [extension] update api
* [feature] add colo attention
* [feature] update sdpa
* [feature] update npu attention
* [feature] update flash-attn
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* [test] update flash attn test
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* [shardformer] update whisper
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Co-authored-by: github-actions <github-actions@github.com>
* [shardformer] fix pipeline forward error if custom layer distribution is used (#5189 )
* Use self.[distribute_layers|get_stage_index] to exploit custom layer distribution
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---------
Co-authored-by: Wenhao Chen <cwher@outlook.com>
* [Fix] Grok-1 use tokenizer from the same pretrained path (#5532 )
* [fix] use tokenizer from the same pretrained path
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* [ColossalChat] Update RLHF V2 (#5286 )
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---------
Co-authored-by: Tong Li <tong.li352711588@gmail.com>
* [shardformer, pipeline] add `gradient_checkpointing_ratio` and heterogenous shard policy for llama (#5508 )
* feat: add `GradientCheckpointConfig` and `PipelineGradientCheckpointConfig`
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* fix incorrect sharding without zero (#5545 )
Co-authored-by: Edenzzzz <wtan45@wisc.edu>
* [shardformer] Sequence Parallelism Optimization (#5533 )
* sequence parallel optimization
* validate sequence parallel in llama (code to be polished)
* shardformer api writing
* integrate sequence parallel in ShardFormer
* fix pp bugs and sp bugs for LlaMa model
* integrating ring-based sequence parallelism into ShardFormer
* [sequence parallelism]: Add fused megatron function
* integrating ring-based sequence parallelism into ShardFormer
---------
Co-authored-by: linsj20 <linsj20@mails.tsinghua.edu.cn>
* fix bugs when useing sp and flashattention together
* fix operation function name
* support flash attention for ulysses-style sp
* clarify sp process group
* fix compatibility bugs in moe plugin
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* support gpt model all-to-all sp
* modify shard data dimension (meant to be dim=-1)
* support megtron-style sp and distributed attn for llama model
* [shardformer] add megatron sp to llama
* support llama7B 128k with distributed attention
* [shardformer] robustness enhancement
* add block attn
* sp mode 1: keep input as a complete sequence
* fix sp compatability
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* using all_to_all_single when batch size is 1
* support mode 2 sp in gpt2 (#5 )
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* support llama7B 128k with distributed attention
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* sp mode 1: keep input as a complete sequence
* fix sp compatability
* refactor ring implementation
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* automatically enable flash attn when using sp mode 2 and 3 in llama
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* loose tensor checking atol and rtol
* add comment
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* update split and gather auto grad func
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* polish code (part 1)
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---------
Co-authored-by: linsj20 <linsj20@mails.tsinghua.edu.cn>
* [hotfix] quick fixes to make legacy tutorials runnable (#5559 )
Co-authored-by: Edenzzzz <wtan45@wisc.edu>
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* [hotfix] fix typo s/get_defualt_parser /get_default_parser (#5548 )
* [devops] remove post commit ci (#5566 )
* [devops] remove post commit ci
* [misc] run pre-commit on all files
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
---------
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
Co-authored-by: Yuanheng Zhao <54058983+yuanheng-zhao@users.noreply.github.com>
Co-authored-by: Wenhao Chen <cwher@outlook.com>
Co-authored-by: Hongxin Liu <lhx0217@gmail.com>
Co-authored-by: Rocky Duan <dementrock@users.noreply.github.com>
Co-authored-by: Edenzzzz <wtan45@wisc.edu>
Co-authored-by: Edenzzzz <wenxuan.tan@wisc.edu>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: github-actions <github-actions@github.com>
Co-authored-by: Insu Jang <insujang@umich.edu>
Co-authored-by: YeAnbang <44796419+YeAnbang@users.noreply.github.com>
Co-authored-by: Tong Li <tong.li352711588@gmail.com>
Co-authored-by: Zhongkai Zhao <kanezz620@gmail.com>
Co-authored-by: linsj20 <linsj20@mails.tsinghua.edu.cn>
Co-authored-by: digger yu <digger-yu@outlook.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* [shardformer]enable padding vocabulary size. (#5489 )
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* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
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padding vocab_size when using pipeline parallellism
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* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
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for more information, see https://pre-commit.ci
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for more information, see https://pre-commit.ci
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---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Hongxin Liu <lhx0217@gmail.com>
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
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---------
Co-authored-by: Hongxin Liu <lhx0217@gmail.com>
Co-authored-by: digger yu <digger-yu@outlook.com>
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
Co-authored-by: Yuanheng Zhao <54058983+yuanheng-zhao@users.noreply.github.com>
Co-authored-by: Wenhao Chen <cwher@outlook.com>
Co-authored-by: Rocky Duan <dementrock@users.noreply.github.com>
Co-authored-by: Edenzzzz <wtan45@wisc.edu>
Co-authored-by: Edenzzzz <wenxuan.tan@wisc.edu>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
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Co-authored-by: Insu Jang <insujang@umich.edu>
Co-authored-by: YeAnbang <44796419+YeAnbang@users.noreply.github.com>
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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2024-04-18 16:10:18 +08:00
641b1ee71a
[devops] remove post commit ci ( #5566 )
...
* [devops] remove post commit ci
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* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2024-04-08 15:09:40 +08:00
8e412a548e
[shardformer] Sequence Parallelism Optimization ( #5533 )
...
* sequence parallel optimization
* validate sequence parallel in llama (code to be polished)
* shardformer api writing
* integrate sequence parallel in ShardFormer
* fix pp bugs and sp bugs for LlaMa model
* integrating ring-based sequence parallelism into ShardFormer
* [sequence parallelism]: Add fused megatron function
* integrating ring-based sequence parallelism into ShardFormer
---------
Co-authored-by: linsj20 <linsj20@mails.tsinghua.edu.cn>
* fix bugs when useing sp and flashattention together
* fix operation function name
* support flash attention for ulysses-style sp
* clarify sp process group
* fix compatibility bugs in moe plugin
* fix fused linear bugs
* fix linear layer test
* support gpt model all-to-all sp
* modify shard data dimension (meant to be dim=-1)
* support megtron-style sp and distributed attn for llama model
* [shardformer] add megatron sp to llama
* support llama7B 128k with distributed attention
* [shardformer] robustness enhancement
* add block attn
* sp mode 1: keep input as a complete sequence
* fix sp compatability
* finish sp mode 3 support for gpt
* using all_to_all_single when batch size is 1
* support mode 2 sp in gpt2 (#5 )
* [shardformer] add megatron sp to llama
* support llama7B 128k with distributed attention
* [shardformer] robustness enhancement
* add block attn
* sp mode 1: keep input as a complete sequence
* fix sp compatability
* refactor ring implementation
* support mode 2 sp in gpt2
* polish code
* enable distributed attn mask when using sp mode 2 and 3 in llama
* automatically enable flash attn when using sp mode 2 and 3 in llama
* inplace attn mask
* add zero2 support for sequence parallel
* polish code
* fix bugs
* fix gemini checkpoint io
* loose tensor checking atol and rtol
* add comment
* fix llama layernorm grad
* fix zero grad
* fix zero grad
* fix conflict
* update split and gather auto grad func
* sequence parallel: inside text split (#6 )
* polish code (part 1)
* polish code (part 2)
* polish code (part 2.5)
* polish code (part 3)
* sequence parallel: inside text split
* miscellaneous minor fixes
* polish code
* fix ulysses style ZeRO
* sequence parallel: inside text split
* miscellaneous minor fixes
* disaggregate sp group and dp group for sp
* fix llama and gpt sp
* polish code
* move ulysses grad sync to ddp (#9 )
* remove zero_stage and unbind the grad sync for alltoall sp
* add 2d group creation test
* move ulysses grad sync to ddp
* add 2d group creation test
* remove useless code
* change shard config not to enable sp when enable_all_optimizations
* add sp warnings for several model
* remove useless code
---------
Co-authored-by: linsj20 <linsj20@mails.tsinghua.edu.cn>
2024-04-03 17:15:47 +08:00
e614aa34f3
[shardformer, pipeline] add `gradient_checkpointing_ratio` and heterogenous shard policy for llama ( #5508 )
...
* feat: add `GradientCheckpointConfig` and `PipelineGradientCheckpointConfig`
* feat: apply `GradientCheckpointConfig` to policy and llama_forward
* feat: move `distribute_layer` and `get_stage_index` to PipelineStageManager
* fix: add optional args for `distribute_layer` and `get_stage_index`
* fix: fix changed API calls
* test: update llama tests
* style: polish `GradientCheckpointConfig`
* fix: fix pipeline utils tests
2024-04-01 11:34:58 +08:00
bb0a668fee
[hotfix] set return_outputs=False in examples and polish code ( #5404 )
...
* fix: simplify merge_batch
* fix: use return_outputs=False to eliminate extra memory consumption
* feat: add return_outputs warning
* style: remove `return_outputs=False` as it is the default value
2024-03-25 12:31:09 +08:00
5e16bf7980
[shardformer] fix gathering output when using tensor parallelism ( #5431 )
...
* fix
* padding vocab_size when using pipeline parallellism
padding vocab_size when using pipeline parallellism
fix
fix
* fix
* fix
fix
fix
* fix gather output
* fix
* fix
* fix
fix resize embedding
fix resize embedding
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2024-03-18 15:55:11 +08:00
f2e8b9ef9f
[devops] fix compatibility ( #5444 )
...
* [devops] fix compatibility
* [hotfix] update compatibility test on pr
* [devops] fix compatibility
* [devops] record duration during comp test
* [test] decrease test duration
* fix falcon
2024-03-13 15:24:13 +08:00
5e1c93d732
[hotfix] fix typo change MoECheckpintIO to MoECheckpointIO ( #5335 )
...
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
2024-03-05 21:52:30 +08:00
29695cf70c
[example]add gpt2 benchmark example script. ( #5295 )
...
* benchmark gpt2
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fix
fix
fix
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* [workflow] fixed build CI (#5240 )
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---------
Co-authored-by: Wenhao Chen <cwher@outlook.com>
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---------
Co-authored-by: Wenhao Chen <cwher@outlook.com>
* [shardformer] hybridparallelplugin support gradients accumulation. (#5246 )
* support gradients acc
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* fix auto loading gpt2 tokenizer (#5279 )
* [doc] add llama2-13B disyplay (#5285 )
* Update README.md
* fix 13b typo
---------
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
* fix llama pretrain (#5287 )
* fix
* fix
* fix
fix
* fix
fix
fix
* fix
fix
* benchmark gpt2
* fix
fix
fix
fix
* [workflow] fixed build CI (#5240 )
* [workflow] fixed build CI
* polish
* polish
* polish
* polish
* polish
* [ci] fixed booster test (#5251 )
* [ci] fixed booster test
* [ci] fixed booster test
* [ci] fixed booster test
* fix
fix
* fix
fix
fix
* fix
* fix
fix
fix
fix
fix
* fix
* Update shardformer.py
---------
Co-authored-by: digger yu <digger-yu@outlook.com>
Co-authored-by: Frank Lee <somerlee.9@gmail.com>
Co-authored-by: Wenhao Chen <cwher@outlook.com>
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
Co-authored-by: Zhongkai Zhao <kanezz620@gmail.com>
Co-authored-by: Michelle <97082656+MichelleMa8@users.noreply.github.com>
Co-authored-by: Desperado-Jia <502205863@qq.com>
2024-03-04 16:18:13 +08:00
bf34c6fef6
[fsdp] impl save/load shard model/optimizer ( #5357 )
2024-02-27 13:51:14 +08:00
efef43b53c
Merge pull request #5372 from hpcaitech/exp/mixtral
2024-02-08 16:30:05 +08:00
da39d21b71
[moe] support mixtral ( #5309 )
...
* [moe] add mixtral block for single expert
* [moe] mixtral block fwd support uneven ep
* [moe] mixtral block bwd support uneven ep
* [moe] add mixtral moe layer
* [moe] simplify replace
* [meo] support save sharded mixtral
* [meo] support load sharded mixtral
* [meo] support save sharded optim
* [meo] integrate moe manager into plug
* [meo] fix optimizer load
* [meo] fix mixtral layer
2024-02-07 19:21:02 +08:00
7d8e0338a4
[moe] init mixtral impl
2024-02-07 19:21:02 +08:00
6c0fa7b9a8
[llama] fix dataloader for hybrid parallel ( #5358 )
...
* [plugin] refactor prepare dataloader
* [plugin] update train script
2024-02-05 15:14:56 +08:00
1c790c0877
[fix] remove unnecessary dp_size assert ( #5351 )
...
* fix: remove unnecessary assert
* test: add more 3d plugin tests
* fix: add warning
2024-02-02 14:40:20 +08:00
148469348a
Merge branch 'main' into sync/npu
2024-01-18 12:05:21 +08:00
46e091651b
[shardformer] hybridparallelplugin support gradients accumulation. ( #5246 )
...
* support gradients acc
fix
fix
fix
fix
fix
fix
fix
fix
fix
fix
fix
fix
fix
* fix
fix
* fix
fix
fix
2024-01-17 15:22:33 +08:00
e830ef917d
[ci] fix shardformer tests. ( #5255 )
...
* fix ci
fix
* revert: revert p2p
* feat: add enable_metadata_cache option
* revert: enable t5 tests
---------
Co-authored-by: Wenhao Chen <cwher@outlook.com>
2024-01-11 19:07:45 +08:00
9102d655ab
[hotfix] removed unused flag ( #5242 )
2024-01-09 14:57:07 +08:00
d202cc28c0
[npu] change device to accelerator api ( #5239 )
...
* update accelerator
* fix timer
* fix amp
* update
* fix
* update bug
* add error raise
* fix autocast
* fix set device
* remove doc accelerator
* update doc
* update doc
* update doc
* use nullcontext
* update cpu
* update null context
* change time limit for example
* udpate
* update
* update
* update
* [npu] polish accelerator code
---------
Co-authored-by: Xuanlei Zhao <xuanlei.zhao@gmail.com>
Co-authored-by: zxl <43881818+oahzxl@users.noreply.github.com>
2024-01-09 10:20:05 +08:00
365671be10
fix-test ( #5210 )
...
fix-test
fix-test
2024-01-03 14:26:13 +08:00
d799a3088f
[pipeline]: add p2p fallback order and fix interleaved pp deadlock ( #5214 )
...
* fix: add fallback order option and update 1f1b
* fix: fix deadlock comm in interleaved pp
* test: modify p2p test
2024-01-03 11:34:49 +08:00
4fa689fca1
[pipeline]: fix p2p comm, add metadata cache and support llama interleaved pp ( #5134 )
...
* test: add more p2p tests
* fix: remove send_forward_recv_forward as p2p op list need to use the same group
* fix: make send and receive atomic
* feat: update P2PComm fn
* feat: add metadata cache in 1f1b
* feat: add metadata cache in interleaved pp
* feat: modify is_xx_stage fn
* revert: add _broadcast_object_list
* feat: add interleaved pp in llama policy
* feat: set NCCL_BUFFSIZE in HybridParallelPlugin
2023-12-22 10:44:00 +08:00
21aa5de00b
[gemini] hotfix NaN loss while using Gemini + tensor_parallel ( #5150 )
...
* fix
aaa
fix
fix
fix
* fix
* fix
* test ci
* fix ci
fix
2023-12-08 11:10:51 +08:00
2a2ec49aa7
[plugin]fix 3d checkpoint load when booster boost without optimizer. ( #5135 )
...
* fix 3d checkpoint load when booster boost without optimizer
fix 3d checkpoint load when booster boost without optimizer
* test ci
* revert ci
* fix
fix
2023-11-30 18:37:47 +08:00
d10ee42f68
[format] applied code formatting on changed files in pull request 5088 ( #5127 )
...
Co-authored-by: github-actions <github-actions@github.com>
2023-11-29 13:38:37 +08:00
7172459e74
[shardformer]: support gpt-j, falcon, Mistral and add interleaved pipeline for bert ( #5088 )
...
* [shardformer] implement policy for all GPT-J models and test
* [shardformer] support interleaved pipeline parallel for bert finetune
* [shardformer] shardformer support falcon (#4883 )
* [shardformer]: fix interleaved pipeline for bert model (#5048 )
* [hotfix]: disable seq parallel for gptj and falcon, and polish code (#5093 )
* Add Mistral support for Shardformer (#5103 )
* [shardformer] add tests to mistral (#5105 )
---------
Co-authored-by: Pengtai Xu <henryxu880@gmail.com>
Co-authored-by: ppt0011 <143150326+ppt0011@users.noreply.github.com>
Co-authored-by: flybird11111 <1829166702@qq.com>
Co-authored-by: eric8607242 <e0928021388@gmail.com>
2023-11-28 16:54:42 +08:00
3acbf6d496
[npu] add npu support for hybrid plugin and llama ( #5090 )
...
* llama 3d
* update
* fix autocast
2023-11-22 19:23:21 +08:00
8921a73c90
[format] applied code formatting on changed files in pull request 5067 ( #5072 )
...
Co-authored-by: github-actions <github-actions@github.com>
2023-11-20 19:46:43 +08:00
e5ce4c8ea6
[npu] add npu support for gemini and zero ( #5067 )
...
* [npu] setup device utils (#5047 )
* [npu] add npu device support
* [npu] support low level zero
* [test] update npu zero plugin test
* [hotfix] fix import
* [test] recover tests
* [npu] gemini support npu (#5052 )
* [npu] refactor device utils
* [gemini] support npu
* [example] llama2+gemini support npu
* [kernel] add arm cpu adam kernel (#5065 )
* [kernel] add arm cpu adam
* [optim] update adam optimizer
* [kernel] arm cpu adam remove bf16 support
2023-11-20 16:12:41 +08:00
3e02154710
[gemini] gemini support extra-dp ( #5043 )
...
* support ddp
* fix
* fix
* fix
fix
* support ddp
* fix
* fix
* fix
fix
* simplify tests
* fix
* fix
* fix
fix
fix
* fix
2023-11-16 21:03:04 +08:00
576a2f7b10
[gemini] gemini support tensor parallelism. ( #4942 )
...
* [colossalai]fix typo
* [inference] Add smmoothquant for llama (#4904 )
* [inference] add int8 rotary embedding kernel for smoothquant (#4843 )
* [inference] add smoothquant llama attention (#4850 )
* add smoothquant llama attention
* remove uselss code
* remove useless code
* fix import error
* rename file name
* [inference] add silu linear fusion for smoothquant llama mlp (#4853 )
* add silu linear
* update skip condition
* catch smoothquant cuda lib exception
* prcocess exception for tests
* [inference] add llama mlp for smoothquant (#4854 )
* add llama mlp for smoothquant
* fix down out scale
* remove duplicate lines
* add llama mlp check
* delete useless code
* [inference] add smoothquant llama (#4861 )
* add smoothquant llama
* fix attention accuracy
* fix accuracy
* add kv cache and save pretrained
* refactor example
* delete smooth
* refactor code
* [inference] add smooth function and delete useless code for smoothquant (#4895 )
* add smooth function and delete useless code
* update datasets
* remove duplicate import
* delete useless file
* refactor codes (#4902 )
* rafactor code
* add license
* add torch-int and smoothquant license
* Update flash_attention_patch.py
To be compatible with the new change in the Transformers library, where a new argument 'padding_mask' was added to forward function of attention layer.
https://github.com/huggingface/transformers/pull/25598
* [kernel] support pure fp16 for cpu adam and update gemini optim tests (#4921 )
* [kernel] support pure fp16 for cpu adam (#4896 )
* [kernel] fix cpu adam kernel for pure fp16 and update tests (#4919 )
* [kernel] fix cpu adam
* [test] update gemini optim test
* [format] applied code formatting on changed files in pull request 4908 (#4918 )
Co-authored-by: github-actions <github-actions@github.com>
* [gemini] support gradient accumulation (#4869 )
* add test
* fix no_sync bug in low level zero plugin
* fix test
* add argument for grad accum
* add grad accum in backward hook for gemini
* finish implementation, rewrite tests
* fix test
* skip stuck model in low level zero test
* update doc
* optimize communication & fix gradient checkpoint
* modify doc
* cleaning codes
* update cpu adam fp16 case
* [hotfix] fix torch 2.0 compatibility (#4936 )
* [hotfix] fix launch
* [test] fix test gemini optim
* [shardformer] fix vit
* [test] add no master test for low level zero plugin (#4934 )
* [format] applied code formatting on changed files in pull request 4820 (#4886 )
Co-authored-by: github-actions <github-actions@github.com>
* [nfc] fix some typo with colossalai/ docs/ etc. (#4920 )
* [Refactor] Integrated some lightllm kernels into token-attention (#4946 )
* add some req for inference
* clean codes
* add codes
* add some lightllm deps
* clean codes
* hello
* delete rms files
* add some comments
* add comments
* add doc
* add lightllm deps
* add lightllm cahtglm2 kernels
* add lightllm cahtglm2 kernels
* replace rotary embedding with lightllm kernel
* add some commnets
* add some comments
* add some comments
* add
* replace fwd kernel att1
* fix a arg
* add
* add
* fix token attention
* add some comments
* clean codes
* modify comments
* fix readme
* fix bug
* fix bug
---------
Co-authored-by: cuiqing.li <lixx336@gmail.com>
Co-authored-by: CjhHa1 <cjh18671720497@outlook.com>
* [test] merge old components to test to model zoo (#4945 )
* [test] add custom models in model zoo
* [test] update legacy test
* [test] update model zoo
* [test] update gemini test
* [test] remove components to test
* [inference] add reference and fix some bugs (#4937 )
* add reference and fix some bugs
* update gptq init
---------
Co-authored-by: Xu Kai <xukai16@foxamil.com>
* [Inference]ADD Bench Chatglm2 script (#4963 )
* add bench chatglm
* fix bug and make utils
---------
Co-authored-by: CjhHa1 <cjh18671720497outlook.com>
* [Pipeline inference] Combine kvcache with pipeline inference (#4938 )
* merge kvcache with pipeline inference and refactor the code structure
* support ppsize > 2
* refactor pipeline code
* do pre-commit
* modify benchmark
* fix bench mark
* polish code
* add docstring and update readme
* refactor the code
* fix some logic bug of ppinfer
* polish readme
* fix typo
* skip infer test
* updated c++17 compiler flags (#4983 )
* [Inference] Dynamic Batching Inference, online and offline (#4953 )
* [inference] Dynamic Batching for Single and Multiple GPUs (#4831 )
* finish batch manager
* 1
* first
* fix
* fix dynamic batching
* llama infer
* finish test
* support different lengths generating
* del prints
* del prints
* fix
* fix bug
---------
Co-authored-by: CjhHa1 <cjh18671720497outlook.com>
* [inference] Async dynamic batching (#4894 )
* finish input and output logic
* add generate
* test forward
* 1
* [inference]Re push async dynamic batching (#4901 )
* adapt to ray server
* finish async
* finish test
* del test
---------
Co-authored-by: yuehuayingxueluo <867460659@qq.com>
* Revert "[inference]Re push async dynamic batching (#4901 )" (#4905 )
This reverts commit fbf3c09e67#4894 )"
This reverts commit fced140250#4894 )" (#4909 )
This reverts commit fced140250#4911 )
* Revert "[inference] Async dynamic batching (#4894 )"
This reverts commit fced140250#4935 )
* infer engine
* infer engine
* test engine
* test engine
* new manager
* change step
* add
* test
* fix
* fix
* finish test
* finish test
* finish test
* finish test
* add license
---------
Co-authored-by: yuehuayingxueluo <867460659@qq.com>
* add assertion for config (#4947 )
* [Inference] Finish dynamic batching offline test (#4948 )
* test
* fix test
* fix quant
* add default
* fix
* fix some bugs
* fix some bugs
* fix
* fix bug
* fix bugs
* reset param
---------
Co-authored-by: yuehuayingxueluo <867460659@qq.com>
Co-authored-by: Cuiqing Li <lixx3527@gmail.com>
Co-authored-by: CjhHa1 <cjh18671720497outlook.com>
* [Kernels]Updated Triton kernels into 2.1.0 and adding flash-decoding for llama token attention (#4965 )
* adding flash-decoding
* clean
* adding kernel
* adding flash-decoding
* add integration
* add
* adding kernel
* adding kernel
* adding triton 2.1.0 features for inference
* update bloom triton kernel
* remove useless vllm kernels
* clean codes
* fix
* adding files
* fix readme
* update llama flash-decoding
---------
Co-authored-by: cuiqing.li <lixx336@gmail.com>
* fix ColossalEval (#4992 )
Co-authored-by: Xu Yuanchen <yuanchen.xu00@gmail.com>
* [doc]Update doc for colossal-inference (#4989 )
* update doc
* Update README.md
---------
Co-authored-by: cuiqing.li <lixx336@gmail.com>
* [hotfix] Fix the bug where process groups were not being properly released. (#4940 )
* Fix the bug where process groups were not being properly released.
* test
* Revert "test"
This reverts commit 479900c139#4951 )
* [doc] add supported feature diagram for hybrid parallel plugin (#4996 )
* [Pipeline Inference] Merge pp with tp (#4993 )
* refactor pipeline into new CaiInferEngine
* updata llama modeling forward
* merge tp with pp
* update docstring
* optimize test workflow and example
* fix typo
* add assert and todo
* [release] update version (#4995 )
* [release] update version
* [hotfix] fix ci
* [gemini] gemini support tp
[gemini] gemini support tp
[gemini] gemini support tp
[gemini] gemini support tp
[gemini] gemini support tp
* fix
fix
fix
* update checkpointIO
update checkpointIO
update checkpointIO
update checkpointIO
update checkpointIO
update checkpointIO
update checkpointIO
update checkpointIO
update checkpointIO
* support fused layernorm
support fused layernorm
support fused layernorm
* update fusedlayernorm
update fusedlayernorm
update fusedlayernorm
* add sequence parallel to gemini
add sequence parallel to gemini
* fix
* fix comments
fix comments
fix comments
* fix
* fix t5
* clear cache
* fix
* activate ci
* activate ci
* fix
* fix
* fix
* fix
* revert
* modify tp gather method
modify tp gather method
modify tp gather method
modify tp gather method
* fix test
---------
Co-authored-by: Xu Kai <xukai16@foxmail.com>
Co-authored-by: Zian(Andy) Zheng <62330719+Orion-Zheng@users.noreply.github.com>
Co-authored-by: Hongxin Liu <lhx0217@gmail.com>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: github-actions <github-actions@github.com>
Co-authored-by: Baizhou Zhang <eddiezhang@pku.edu.cn>
Co-authored-by: Zhongkai Zhao <kanezz620@gmail.com>
Co-authored-by: digger yu <digger-yu@outlook.com>
Co-authored-by: Cuiqing Li <lixx3527@gmail.com>
Co-authored-by: cuiqing.li <lixx336@gmail.com>
Co-authored-by: CjhHa1 <cjh18671720497@outlook.com>
Co-authored-by: Xu Kai <xukai16@foxamil.com>
Co-authored-by: Jianghai <72591262+CjhHa1@users.noreply.github.com>
Co-authored-by: Bin Jia <45593998+FoolPlayer@users.noreply.github.com>
Co-authored-by: アマデウス <kurisusnowdeng@users.noreply.github.com>
Co-authored-by: yuehuayingxueluo <867460659@qq.com>
Co-authored-by: Yuanchen <70520919+chengeharrison@users.noreply.github.com>
Co-authored-by: Xu Yuanchen <yuanchen.xu00@gmail.com>
Co-authored-by: littsk <1214689160@qq.com>
Co-authored-by: ppt0011 <143150326+ppt0011@users.noreply.github.com>
2023-11-10 10:15:16 +08:00
f71e63b0f3
[moe] support optimizer checkpoint ( #5015 )
...
* Refactor MoE Manager setup method
* unshard optim ckpt
* optim io
* update transformer version
* update requirements
* update ckpt
* update ckpt
* update ckpt
* fix engine
* fix engine
2023-11-08 15:07:03 +00:00
1a3315e336
[hotfix] Add layer norm gradients all-reduce for sequence parallel ( #4926 )
...
* [hotfix] Add layer norm gradients all-reduce for sequence parallel. (#4915 )
* Add layer norm gradients all-reduce for sequence parallel.
* skip pipeline inference test
* [hotfix] fixing polices of sequence parallel (#4922 )
* Add layer norm gradients all-reduce for sequence parallel.
* fix parameter passing when calling get_autopolicy
---------
Co-authored-by: littsk <1214689160@qq.com>
* Hotfix/add grad all reduce for sequence parallel (#4927 )
* Add layer norm gradients all-reduce for sequence parallel.
* fix parameter passing when calling get_autopolicy
* fix bug using wrong variables
---------
Co-authored-by: littsk <1214689160@qq.com>
* fix policy initialization
* fix bloom and chatglm policices
* polish code of handling layernorm
* fix moe module
* polish code of class initializing
---------
Co-authored-by: Zhongkai Zhao <kanezz620@gmail.com>
2023-11-03 13:32:43 +08:00
dc003c304c
[moe] merge moe into main ( #4978 )
...
* update moe module
* support openmoe
2023-11-02 02:21:24 +00:00
c040d70aa0
[hotfix] fix the bug of repeatedly storing param group ( #4951 )
2023-10-31 14:48:01 +08:00
21ba89cab6
[gemini] support gradient accumulation ( #4869 )
...
* add test
* fix no_sync bug in low level zero plugin
* fix test
* add argument for grad accum
* add grad accum in backward hook for gemini
* finish implementation, rewrite tests
* fix test
* skip stuck model in low level zero test
* update doc
* optimize communication & fix gradient checkpoint
* modify doc
* cleaning codes
* update cpu adam fp16 case
2023-10-17 14:07:21 +08:00
a0684e7bd6
[feature] support no master weights option for low level zero plugin ( #4816 )
...
* [feature] support no master weights for low level zero plugin
* [feature] support no master weights for low level zero plugin, remove data copy when no master weights
* remove data copy and typecasting when no master weights
* not load weights to cpu when using no master weights
* fix grad: use fp16 grad when no master weights
* only do not update working param when no master weights
* fix: only do not update working param when no master weights
* fix: passing params in dict format in hybrid plugin
* fix: remove extra params (tp_process_group) in hybrid_parallel_plugin
2023-10-13 07:57:45 +00:00
83b52c56cd
[feature] Add clip_grad_norm for hybrid_parallel_plugin ( #4837 )
...
* Add clip_grad_norm for hibrid_parallel_plugin
* polish code
* add unittests
* Move tp to a higher-level optimizer interface.
* bug fix
* polish code
2023-10-12 11:32:37 +08:00
df63564184
[gemini] support amp o3 for gemini ( #4872 )
...
* [gemini] support no reuse fp16 chunk
* [gemini] support no master weight for optim
* [gemini] support no master weight for gemini ddp
* [test] update gemini tests
* [test] update gemini tests
* [plugin] update gemini plugin
* [test] fix gemini checkpointio test
* [test] fix gemini checkpoint io
2023-10-12 10:39:08 +08:00
c97a3523db
fix: typo in comment of low_level_zero plugin
2023-10-05 16:30:34 +00:00
a2db75546d
[doc] polish shardformer doc ( #4779 )
...
* fix example format in docstring
* polish shardformer doc
2023-09-26 10:57:47 +08:00
c0a033700c
[shardformer] fix master param sync for hybrid plugin/rewrite unwrapping logic ( #4758 )
...
* fix master param sync for hybrid plugin
* rewrite unwrap for ddp/fsdp
* rewrite unwrap for zero/gemini
* rewrite unwrap for hybrid plugin
* fix geemini unwrap
* fix bugs
2023-09-20 18:29:37 +08:00
079bf3cb26
[misc] update pre-commit and run all files ( #4752 )
...
* [misc] update pre-commit
* [misc] run pre-commit
* [misc] remove useless configuration files
* [misc] ignore cuda for clang-format
2023-09-19 14:20:26 +08:00
ac2797996b
[shardformer] add custom policy in hybrid parallel plugin ( #4718 )
...
* add custom policy
* update assert
2023-09-15 17:53:13 +08:00
f911d5b09d
[doc] Add user document for Shardformer ( #4702 )
...
* create shardformer doc files
* add docstring for seq-parallel
* update ShardConfig docstring
* add links to llama example
* add outdated massage
* finish introduction & supporting information
* finish 'how shardformer works'
* finish shardformer.md English doc
* fix doctest fail
* add Chinese document
2023-09-15 10:56:39 +08:00
d8ceeac14e
[hotfix] fix typo in hybrid parallel io ( #4697 )
2023-09-12 17:32:19 +08:00
660eed9124
[pipeline] set optimizer to optional in execute_pipeline ( #4630 )
...
* set optimizer to optional in execute_pipeline
* arrange device and mixed precision in booster init
* fix execute_pipeline in booster.py
2023-09-07 10:42:59 +08:00
fae6c92ead
Merge branch 'main' into feature/shardformer
2023-09-05 21:54:08 +08:00
807e01a4ba
[zero] hotfix master param sync ( #4618 )
...
* [zero] add method to update master params
* [zero] update zero plugin
* [plugin] update low level zero plugin
2023-09-05 15:04:02 +08:00
86d22581e4
[shardformer] Add overlap optional for HybridParallelPlugin ( #4615 )
...
* add optional overlap for plugin
* remove fixed todo
2023-09-05 11:52:23 +08:00
a39a5c66fe
Merge branch 'main' into feature/shardformer
2023-09-04 23:43:13 +08:00
e79b1e80e2
[checkpointio] support huggingface from_pretrained for all plugins ( #4606 )
2023-09-04 23:25:01 +08:00
0a94fcd351
[shardformer] update bert finetune example with HybridParallelPlugin ( #4584 )
...
* [shardformer] fix opt test hanging
* fix
* test
* test
* test
* fix test
* fix test
* remove print
* add fix
* [shardformer] add bert finetune example
* [shardformer] add bert finetune example
* [shardformer] add bert finetune example
* [shardformer] add bert finetune example
* [shardformer] add bert finetune example
* [shardformer] add bert finetune example
* [shardformer] fix epoch change
* [shardformer] broadcast add pp group
* [shardformer] fix opt test hanging
* fix
* test
* test
* [shardformer] zero1+pp and the corresponding tests (#4517 )
* pause
* finish pp+zero1
* Update test_shard_vit.py
* [shardformer/fix overlap bug] fix overlap bug, add overlap as an option in shardco… (#4516 )
* fix overlap bug and support bert, add overlap as an option in shardconfig
* support overlap for chatglm and bloom
* [shardformer] fix emerged bugs after updating transformers (#4526 )
* test
* fix test
* fix test
* remove print
* add fix
* [shardformer] add bert finetune example
* [shardformer] add bert finetune example
* [shardformer] Add overlap support for gpt2 (#4535 )
* add overlap support for gpt2
* remove unused code
* remove unused code
* [shardformer] support pp+tp+zero1 tests (#4531 )
* [shardformer] fix opt test hanging
* fix
* test
* test
* test
* fix test
* fix test
* remove print
* add fix
* [shardformer] pp+tp+zero1
[shardformer] pp+tp+zero1
[shardformer] pp+tp+zero1
[shardformer] pp+tp+zero1
[shardformer] pp+tp+zero1
[shardformer] pp+tp+zero1
* [shardformer] pp+tp+zero1
* [shardformer] pp+tp+zero1
* [shardformer] pp+tp+zero1
* [shardformer] pp+tp+zero1
* [shardformer] fix submodule replacement bug when enabling pp (#4544 )
* [shardformer] support sharded optimizer checkpointIO of HybridParallelPlugin (#4540 )
* implement sharded optimizer saving
* add more param info
* finish implementation of sharded optimizer saving
* fix bugs in optimizer sharded saving
* add pp+zero test
* param group loading
* greedy loading of optimizer
* fix bug when loading
* implement optimizer sharded saving
* add optimizer test & arrange checkpointIO utils
* fix gemini sharding state_dict
* add verbose option
* add loading of master params
* fix typehint
* fix master/working mapping in fp16 amp
* [shardformer] add bert finetune example
* [shardformer] add bert finetune example
* [shardformer] add bert finetune example
* [shardformer] add bert finetune example
* [shardformer] fix epoch change
* [shardformer] broadcast add pp group
* rebase feature/shardformer
* update pipeline
* [shardformer] fix
* [shardformer] fix
* [shardformer] bert finetune fix
* [shardformer] add all_reduce operation to loss
add all_reduce operation to loss
* [shardformer] make compatible with pytree.
make compatible with pytree.
* [shardformer] disable tp
disable tp
* [shardformer] add 3d plugin to ci test
* [shardformer] update num_microbatches to None
* [shardformer] update microbatchsize
* [shardformer] update assert
* update scheduler
* update scheduler
---------
Co-authored-by: Jianghai <72591262+CjhHa1@users.noreply.github.com>
Co-authored-by: Bin Jia <45593998+FoolPlayer@users.noreply.github.com>
Co-authored-by: Baizhou Zhang <eddiezhang@pku.edu.cn>
2023-09-04 21:46:29 +08:00
63ecafb1fb
[checkpointio] optimize zero optim checkpoint io ( #4591 )
...
* [zero] update checkpoint io to save memory
* [checkpointio] add device map to save memory
2023-09-04 11:26:45 +08:00
508ca36fe3
[pipeline] 1f1b schedule receive microbatch size ( #4589 )
2023-09-01 21:45:14 +08:00
38ccb8b1a3
[shardformer] support from_pretrained when loading model with HybridParallelPlugin ( #4575 )
...
* hybrid plugin support huggingface from_pretrained
* add huggingface compatibility tests
* add folder cleaning
* fix bugs
2023-09-01 17:40:01 +08:00
c9625dbb63
[shardformer] support sharded optimizer checkpointIO of HybridParallelPlugin ( #4540 )
...
* implement sharded optimizer saving
* add more param info
* finish implementation of sharded optimizer saving
* fix bugs in optimizer sharded saving
* add pp+zero test
* param group loading
* greedy loading of optimizer
* fix bug when loading
* implement optimizer sharded saving
* add optimizer test & arrange checkpointIO utils
* fix gemini sharding state_dict
* add verbose option
* add loading of master params
* fix typehint
* fix master/working mapping in fp16 amp
2023-08-31 14:50:47 +08:00
44eab2b27f
[shardformer] support sharded checkpoint IO for models of HybridParallelPlugin ( #4506 )
...
* add APIs
* implement save_sharded_model
* add test for hybrid checkpointio
* implement naive loading for sharded model
* implement efficient sharded model loading
* open a new file for hybrid checkpoint_io
* small fix
* fix circular importing
* fix docstring
* arrange arguments and apis
* small fix
2023-08-25 22:04:57 +08:00
27061426f7
[gemini] improve compatibility and add static placement policy ( #4479 )
...
* [gemini] remove distributed-related part from colotensor (#4379 )
* [gemini] remove process group dependency
* [gemini] remove tp part from colo tensor
* [gemini] patch inplace op
* [gemini] fix param op hook and update tests
* [test] remove useless tests
* [test] remove useless tests
* [misc] fix requirements
* [test] fix model zoo
* [test] fix model zoo
* [test] fix model zoo
* [test] fix model zoo
* [test] fix model zoo
* [misc] update requirements
* [gemini] refactor gemini optimizer and gemini ddp (#4398 )
* [gemini] update optimizer interface
* [gemini] renaming gemini optimizer
* [gemini] refactor gemini ddp class
* [example] update gemini related example
* [example] update gemini related example
* [plugin] fix gemini plugin args
* [test] update gemini ckpt tests
* [gemini] fix checkpoint io
* [example] fix opt example requirements
* [example] fix opt example
* [example] fix opt example
* [example] fix opt example
* [gemini] add static placement policy (#4443 )
* [gemini] add static placement policy
* [gemini] fix param offload
* [test] update gemini tests
* [plugin] update gemini plugin
* [plugin] update gemini plugin docstr
* [misc] fix flash attn requirement
* [test] fix gemini checkpoint io test
* [example] update resnet example result (#4457 )
* [example] update bert example result (#4458 )
* [doc] update gemini doc (#4468 )
* [example] update gemini related examples (#4473 )
* [example] update gpt example
* [example] update dreambooth example
* [example] update vit
* [example] update opt
* [example] update palm
* [example] update vit and opt benchmark
* [hotfix] fix bert in model zoo (#4480 )
* [hotfix] fix bert in model zoo
* [test] remove chatglm gemini test
* [test] remove sam gemini test
* [test] remove vit gemini test
* [hotfix] fix opt tutorial example (#4497 )
* [hotfix] fix opt tutorial example
* [hotfix] fix opt tutorial example
2023-08-24 09:29:25 +08:00
1c7df566e2
[shardformer] support tp+zero for shardformer ( #4472 )
...
* support tp+zero/input type cast for hybridplugin
* add tp+zero tests
* fix bucket arguments
2023-08-21 12:04:52 +08:00
7c8be77081
[shardformer/sequence parallel] support gpt2 seq parallel with pp/dp/tp ( #4460 )
...
* support gpt2 seq parallel with pp/dp/tp
* fix a bug when waiting for stream done
* delete unused gpt2_seq file
2023-08-18 11:21:53 +08:00
6ef33f75aa
[shardformer] support DDP in HybridPlugin/add tp+dp tests ( #4446 )
...
* support DDP for HybridPlugin/add tp+dp tests
* add docstring for HybridParallelPlugin
2023-08-16 16:11:57 +08:00
424629fea0
[shardformer/sequence parallel] Cherry pick commit to new branch ( #4450 )
...
* [shardformer/sequence parallel] Support sequence parallel for gpt2 (#4384 )
* [sequence parallel] add sequence parallel linear col/row support (#4336 )
* add sequence parallel linear col/row support
* add annotation
* add annotation
* add support for gpt2 fused qkv linear layer
* support sequence parallel in GPT2
* add docstring and note
* add requirments
* remove unused flash-attb
* modify flash attn test
* modify flash attn setting
* modify flash attn code
* add assert before divide, rename forward function
* [shardformer/test] fix gpt2 test with seq-parallel
* [shardformer/sequence parallel] Overlap input gather and grad computation during col backward (#4401 )
* overlap gather input / grad computing during col backward
* modify test for overlap
* simplify code
* fix code and modify cuda stream synchronize
* [shardformer/sequence parallel] polish code
2023-08-16 15:41:20 +08:00
d2cd48e0be
[shardformer] test all optimizations ( #4399 )
...
[shardformer] test all optimizations
[shardformer] test all optimizations
[shardformer] test all optimizations
2023-08-15 23:25:14 +08:00
ed4c448488
[pipeline] rewrite t5 tests & support multi-tensor transmitting in pipeline ( #4388 )
...
* fix remaining t5 bugs/rewrite t5 tests
* fix multi-tensor communication in pipeline
* rearrange test_config
* fix keyerror in sync_shared_params
* fix get_held_layers & Randomnizer, complete t5 tests
* erase printing
* fix get_held_layers through modifying _release_unheld_layers
* fix _get_recursive_held_layers bug
2023-08-15 23:25:14 +08:00
b1feeced8e
[shardformer] add util functions for shardformer tests/fix sync_shared_param ( #4366 )
...
* add util functions for shardformer tests & rewrite gpt2 test
* fix shared_params & embedding/merging
* fix precision
2023-08-15 23:25:14 +08:00
0ceec8f9a9
[pipeline] support fp32 for HybridPlugin/merge shardformer test and pipeline test into one file ( #4354 )
...
* add naive optimizer for 3DPlugin/refactor gpt2 shardformer test
* merge tests of PP/DP/TP combinations into one test file
* fix bug when sync grad for dp in HybridPlugin
* update supported precisions for 3DPlugin/fix bug when shifting tp_degree
* improve the passing of lazy_init
* modify lazy_init/use sync_shared_params
2023-08-15 23:25:14 +08:00
261eab02fb
[plugin] add 3d parallel plugin ( #4295 )
...
* [amp] add mixed precision optimizer
* [plugin] add 3d parallel plugin
* [booster] support pipeline
* [plugin] 3d parallel plugin support clip grad norm
* [shardformer] fix sharder and add plugin test
* [plugin] rename 3d parallel plugin
* [ci] support testmon core pkg change detection (#4305 )
* [hotfix] debug testmon
* [hotfix] fix llama
* [hotfix] fix p2p bugs
* [hotfix] fix requirements
2023-08-15 23:25:14 +08:00
1a49a5ea00
[zero] support shard optimizer state dict of zero ( #4194 )
...
* support shard optimizer of zero
* polish code
* support sync grad manually
2023-07-31 22:13:29 +08:00
79cf1b5f33
[zero]support no_sync method for zero1 plugin ( #4138 )
...
* support no sync for zero1 plugin
* polish
* polish
2023-07-31 22:13:29 +08:00
abe4f971e0
[NFC] polish colossalai/booster/plugin/low_level_zero_plugin.py code style ( #4256 )
...
Co-authored-by: supercooledith <893754954@qq.com>
2023-07-26 14:12:57 +08:00
c6f6005990
[checkpointio] Sharded Optimizer Checkpoint for Gemini Plugin ( #4302 )
...
* sharded optimizer checkpoint for gemini plugin
* modify test to reduce testing time
* update doc
* fix bug when keep_gatherd is true under GeminiPlugin
2023-07-21 14:39:01 +08:00
58913441a1
Next commit [checkpointio] Unsharded Optimizer Checkpoint for Gemini Plugin ( #4141 )
...
* [checkpointio] unsharded optimizer checkpoint for Gemini plugin
* [checkpointio] unsharded optimizer checkpoint for Gemini using all_gather
2023-07-07 16:33:06 +08:00
0bb0b481b4
[gemini] fix argument naming during chunk configuration searching
2023-06-25 13:34:15 +08:00
822c3d4d66
[checkpointio] sharded optimizer checkpoint for DDP plugin ( #4002 )
2023-06-16 14:14:05 +08:00
725af3eeeb
[booster] make optimizer argument optional for boost ( #3993 )
...
* feat: make optimizer optional in Booster.boost
* test: skip unet test if diffusers version > 0.10.2
2023-06-15 17:38:42 +08:00
c9cff7e7fa
[checkpointio] General Checkpointing of Sharded Optimizers ( #3984 )
2023-06-15 15:21:26 +08:00
bd1ab98158
[gemini] fixed the gemini checkpoint io ( #3934 )
2023-06-09 09:48:49 +08:00
ae02d4e4f7
[bf16] add bf16 support ( #3882 )
...
* [bf16] add bf16 support for fused adam (#3844 )
* [bf16] fused adam kernel support bf16
* [test] update fused adam kernel test
* [test] update fused adam test
* [bf16] cpu adam and hybrid adam optimizers support bf16 (#3860 )
* [bf16] implement mixed precision mixin and add bf16 support for low level zero (#3869 )
* [bf16] add mixed precision mixin
* [bf16] low level zero optim support bf16
* [text] update low level zero test
* [text] fix low level zero grad acc test
* [bf16] add bf16 support for gemini (#3872 )
* [bf16] gemini support bf16
* [test] update gemini bf16 test
* [doc] update gemini docstring
* [bf16] add bf16 support for plugins (#3877 )
* [bf16] add bf16 support for legacy zero (#3879 )
* [zero] init context support bf16
* [zero] legacy zero support bf16
* [test] add zero bf16 test
* [doc] add bf16 related docstring for legacy zero
2023-06-05 15:58:31 +08:00
3229f93e30
[booster] add warning for torch fsdp plugin doc ( #3833 )
2023-05-25 14:00:02 +08:00
7f8203af69
fix typo colossalai/auto_parallel autochunk fx/passes etc. ( #3808 )
2023-05-24 09:01:50 +08:00
6b305a99d6
[booster] torch fsdp fix ckpt ( #3788 )
2023-05-23 16:58:45 +08:00
3c07a2846e
[plugin] a workaround for zero plugins' optimizer checkpoint ( #3780 )
...
* [test] refactor torch ddp checkpoint test
* [plugin] update low level zero optim checkpoint
* [plugin] update gemini optim checkpoint
2023-05-19 19:42:31 +08:00
5452df63c5
[plugin] torch ddp plugin supports sharded model checkpoint ( #3775 )
...
* [plugin] torch ddp plugin add save sharded model
* [test] fix torch ddp ckpt io test
* [test] fix torch ddp ckpt io test
* [test] fix low level zero plugin test
* [test] fix low level zero plugin test
* [test] add debug info
* [test] add debug info
* [test] add debug info
* [test] add debug info
* [test] add debug info
* [test] fix low level zero plugin test
* [test] fix low level zero plugin test
* [test] remove debug info
2023-05-18 20:05:59 +08:00
b37797ed3d
[booster] support torch fsdp plugin in booster ( #3697 )
...
Co-authored-by: 纪少敏 <jishaomin@jishaomindeMBP.lan>
2023-05-15 12:14:38 +08:00
6552cbf8e1
[booster] fix no_sync method ( #3709 )
...
* [booster] fix no_sync method
* [booster] add test for ddp no_sync
* [booster] fix merge
* [booster] update unit test
* [booster] update unit test
* [booster] update unit test
2023-05-09 11:10:02 +08:00
3bf09efe74
[booster] update prepare dataloader method for plugin ( #3706 )
...
* [booster] add prepare dataloader method for plug
* [booster] update examples and docstr
2023-05-08 15:44:03 +08:00
d0915f54f4
[booster] refactor all dp fashion plugins ( #3684 )
...
* [booster] add dp plugin base
* [booster] inherit dp plugin base
* [booster] refactor unit tests
2023-05-05 19:36:10 +08:00
307894f74d
[booster] gemini plugin support shard checkpoint ( #3610 )
...
* gemini plugin add shard checkpoint save/load
* gemini plugin add shard checkpoint save/load
* gemini plugin add shard checkpoint save/load
* gemini plugin add shard checkpoint save/load
* gemini plugin add shard checkpoint save/load
* gemini plugin add shard checkpoint save/load
* gemini plugin add shard checkpoint save/load
* gemini plugin add shard checkpoint save/load
* gemini plugin add shard checkpoint save/load
* gemini plugin add shard checkpoint save/load
* gemini plugin add shard checkpoint save/load
* gemini plugin add shard checkpoint save/load
* gemini plugin add shard checkpoint save/load
* gemini plugin add shard checkpoint save/load
* gemini plugin support shard checkpoint
* [API Refactoring]gemini plugin support shard checkpoint
* [API Refactoring]gemini plugin support shard checkpoint
* [API Refactoring]gemini plugin support shard checkpoint
* [API Refactoring]gemini plugin support shard checkpoint
* [API Refactoring]gemini plugin support shard checkpoint
* [API Refactoring]gemini plugin support shard checkpoint
* [API Refactoring]gemini plugin support shard checkpoint
* [API Refactoring]gemini plugin support shard checkpoint
* [API Refactoring]gemini plugin support shard checkpoint
* [API Refactoring]gemini plugin support shard checkpoint
* [API Refactoring]gemini plugin support shard checkpoint
* [API Refactoring]gemini plugin support shard checkpoint
* [API Refactoring]gemini plugin support shard checkpoint
---------
Co-authored-by: luchen <luchen@luchendeMBP.lan>
Co-authored-by: luchen <luchen@luchendeMacBook-Pro.local>
2023-05-05 14:37:21 +08:00
4b3240cb59
[booster] add low level zero plugin ( #3594 )
...
* [booster] add low level zero plugin
* [booster] fix gemini plugin test
* [booster] fix precision
* [booster] add low level zero plugin test
* [test] fix booster plugin test oom
* [test] fix booster plugin test oom
* [test] fix googlenet and inception output trans
* [test] fix diffuser clip vision model
* [test] fix torchaudio_wav2vec2_base
* [test] fix low level zero plugin test
2023-04-26 14:37:25 +08:00
173dad0562
[misc] add verbose arg for zero and op builder ( #3552 )
...
* [misc] add print verbose
* [gemini] add print verbose
* [zero] add print verbose for low level
* [misc] add print verbose for op builder
2023-04-17 11:25:35 +08:00
152239bbfa
[gemini] gemini supports lazy init ( #3379 )
...
* [gemini] fix nvme optimizer init
* [gemini] gemini supports lazy init
* [gemini] add init example
* [gemini] add fool model
* [zero] update gemini ddp
* [zero] update init example
* add chunk method
* add chunk method
* [lazyinit] fix lazy tensor tolist
* [gemini] fix buffer materialization
* [misc] remove useless file
* [booster] update gemini plugin
* [test] update gemini plugin test
* [test] fix gemini plugin test
* [gemini] fix import
* [gemini] fix import
* [lazyinit] use new metatensor
* [lazyinit] use new metatensor
* [lazyinit] fix __set__ method
2023-04-12 16:03:25 +08:00
7d8d825681
[booster] fixed the torch ddp plugin with the new checkpoint api ( #3442 )
2023-04-06 09:43:51 +08:00
1beb85cc25
[checkpoint] refactored the API and added safetensors support ( #3427 )
...
* [checkpoint] refactored the API and added safetensors support
* polish code
2023-04-04 15:23:01 +08:00
26b7aac0be
[zero] reorganize zero/gemini folder structure ( #3424 )
...
* [zero] refactor low-level zero folder structure
* [zero] fix legacy zero import path
* [zero] fix legacy zero import path
* [zero] remove useless import
* [zero] refactor gemini folder structure
* [zero] refactor gemini folder structure
* [zero] refactor legacy zero import path
* [zero] refactor gemini folder structure
* [zero] refactor gemini folder structure
* [zero] refactor gemini folder structure
* [zero] refactor legacy zero import path
* [zero] fix test import path
* [zero] fix test
* [zero] fix circular import
* [zero] update import
2023-04-04 13:48:16 +08:00
5f2e34e6c9
[booster] implement Gemini plugin ( #3352 )
...
* [booster] add gemini plugin
* [booster] update docstr
* [booster] gemini plugin add coloparam convertor
* [booster] fix coloparam convertor
* [booster] fix gemini plugin device
* [booster] add gemini plugin test
* [booster] gemini plugin ignore sync bn
* [booster] skip some model
* [booster] skip some model
* [booster] modify test world size
* [booster] modify test world size
* [booster] skip test
2023-03-31 16:06:13 +08:00
Baizhou Zhang